Breaking Through Path Dependence in Corporate Green Transformation: A Case Study From China's Expressways

中国 路径(计算) 路径依赖 转化(遗传学) 经济体制 业务 路径分析(统计学) 自然资源经济学 经济地理学 经济 政治学 数学 微观经济学 法学 化学 统计 计算机科学 基因 生物化学 程序设计语言
作者
Shaozhen Hong,Yingqi Liu
出处
期刊:International Social Science Journal [Wiley]
卷期号:76 (260): 379-395
标识
DOI:10.1111/issj.70008
摘要

ABSTRACT In the context of stringent global environmental governance and the transformation of energy structures, green innovation within highway enterprises has emerged as a crucial practical consideration for achieving sustainable development in the infrastructure sector. This study addresses the core question of whether there are new pathways for the green transformation of Chinese highway enterprises. By integrating the resource‐based view and dynamic capabilities theory, we construct a configurational explanatory framework for the mechanisms driving green innovation. Utilizing multi‐source data from 20 publicly listed highway enterprises in China, we employ fuzzy‐set qualitative comparative analysis (fsQCA) to systematically deconstruct the synergistic effects of variables such as environmental complexity, absorptive capacity (ABC), innovative capability (INC), adaptive capacity (ADC) and the rate of green strategic transformation. We identify four pathways for highway green innovation performance: the green development change‐seeking type (policy‐led), the green blind change‐seeking type (technology trial‐and‐error), the green stable change‐seeking type (resource reconstruction) and the green passive change‐seeking type (compliance‐driven). Empirical evidence indicates that enterprises must possess dual support from INC and ABC (INC > ABC > ADC) to surpass the threshold of green transformation and deviate from existing pathways. Conversely, low‐performance configurations exhibit a dual deficiency in ‘motivation‐capability’. The study further reveals the unique ‘policy‐technology‐resource’ dynamic adaptation mechanism inherent in the infrastructure industry, confirming that the effectiveness of green innovation relies on the synergy of multiple factors rather than a singular capability advantage. Theoretically, this research bridges the theoretical gap between traditional dynamic capabilities theory and the study of green transformation in capital‐intensive industries. Practically, it provides a decision‐making basis for government departments to formulate differentiated industrial policies and for enterprises to select transformation pathways.
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